1981 10 20655 https://www.socictopen.socict.org/files/original/e4f2e22d41fc00d90c86727382bd2c11.pdf b033abcbaf45cc853d29ce0a37ad2b9e Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Addendum: Early triage of critically ill COVID-19 patients using deep learning Creator An entity primarily responsible for making the resource Wenhua Liang, Jianhua Yao, Ailan Chen, Qingquan Lv, Mark Zanin, Jun Liu, SookSan Wong, Yimin Li, Jiatao Lu, Hengrui Liang, Guoqiang Chen, Haiyan Guo, Jun Guo, Rong Zhou, Limin Ou, Niyun Zhou, Hanbo Chen, Fan Yang, Xiao Han, Wenjing Huan, Weimin Tang, Weijie Guan, Zisheng Chen, Yi Zhao, Ling Sang, Yuanda Xu, Wei Wang, Shiyue Li, Ligong Lu, Nuofu Zhang, Nanshan Zhong, Junzhou Huang, Jianxing He Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41467-021-21044-3 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science https://www.socictopen.socict.org/files/original/77ea33780bfc7369bb07fa04ad1b224f.pdf ceb3431a3863f10772d1e7b7f22bcc0d Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource TIM-family proteins promote infection of multiple enveloped viruses through virion-associated phosphatidylserine. Creator An entity primarily responsible for making the resource Wenhui Li, Gordon J. Freeman, Rosemarie H DeKruyff, Michael Farzan, Asim A. Ahmed, Hyeryun Choe, Stephanie Jemielity, Jinyize J Wang, Ying Kai Chan, Sheena Monahan, Xia Bu, Dale T Umetsu Description An account of the resource Human T-cell Immunoglobulin and Mucin-domain containing proteins (TIM1, 3, and 4) specifically bind phosphatidylserine (PS). TIM1 has been proposed to serve as a cellular receptor for hepatitis A virus and Ebola virus and as an entry factor for dengue virus. Here we show that TIM1 promotes infection of retroviruses and virus-like particles (VLPs) pseudotyped with a range of viral entry proteins, in particular those from the filovirus, flavivirus, New World arenavirus and alphavirus families. TIM1 also robustly enhanced the infection of replication-competent viruses from the same families, including dengue, Tacaribe, Sindbis and Ross River viruses. All interactions between TIM1 and pseudoviruses or VLPs were PS-mediated, as demonstrated with liposome blocking and TIM1 mutagenesis experiments. In addition, other PS-binding proteins, such as Axl and TIM4, promoted infection similarly to TIM1. Finally, the blocking of PS receptors on macrophages inhibited the entry of Ebola VLPs, suggesting that PS receptors can contribute to infection in physiologically relevant cells. Notably, infection mediated by the entry proteins of Lassa fever virus, influenza A virus and SARS coronavirus was largely unaffected by TIM1 expression. Taken together our data show that TIM1 and related PS-binding proteins promote infection of diverse families of enveloped viruses, and may therefore be useful targets for broad-spectrum antiviral therapies. Date A point or period of time associated with an event in the lifecycle of the resource 2013 Identifier An unambiguous reference to the resource within a given context DOI: 10.1371/journal.ppat.1003232 Source A related resource from which the described resource is derived PLoS Pathogens Publisher An entity responsible for making the resource available Public Library of Science (PLoS) Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Biology (General), Immunologic diseases. Allergy https://www.socictopen.socict.org/files/original/4cbff18b28fb3b86f8637368303db9ae.pdf 999a64c70d20b0ad3ff211b2bbab54cd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Application of Lateral Transshipment in Cost Reduction of Decentralized Systems Creator An entity primarily responsible for making the resource Wenjing Shen, Yi Liao, Jun Li, Xinxin Hu, Ying Li Description An account of the resource COVID-19 has exposed the global supply chains to great vulnerability. In such extreme circumstances, product availability becomes a primary concern. This paper studies a basic inventory management strategy—lateral transshipment—under decentralized systems, which may play an important role in dealing with stockouts during unexpected crises. Lateral transshipments not only react quickly to stockout, but are also environmentally friendly due to the significant reduction of production and transportation pollution. This paper studies optimal lateral transshipment and replenishment decisions under a decentralized setting. We construct a multi-stage stochastic model that captures demand uncertainty and customer switching behavior. We demonstrate that, similar to the centralized setting, the optimal transshipment decision follows a double-threshold structure. The optimal replenishment quantities are determined under two pricing mechanisms—individual mechanism (IP) and negotiated mechanism (NP). Numerical examples are provided to demonstrate the impact of lateral transshipment on supply chain cost reduction. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource sustainability, Supply Chain Management, Lateral transshipment, random switching Identifier An unambiguous reference to the resource within a given context 10.3390/su12125081 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Environmental effects of industries and plants, Renewable energy sources, Environmental sciences https://www.socictopen.socict.org/files/original/76eeb3812b245ebedfc5966b291d8ae2.pdf 331a01dfcec63e9fe3f9079bf3e21f41 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Ferritin nanoparticle-based SARS-CoV-2 RBD vaccine induces a persistent antibody response and long-term memory in mice. Creator An entity primarily responsible for making the resource Wenjun Wang, Baoying Huang, Yanping Zhu, Wenjie Tan, Mingzhao Zhu Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.1038/s41423-021-00643-6 Source A related resource from which the described resource is derived Cellular & molecular immunology https://www.socictopen.socict.org/files/original/c622d239b461501a2c36d1415a67bf61.pdf a6cdea40af686fd87acd798240916655 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Spatio-Temporal Patterns of the 2019-nCoV Epidemic at the County Level in Hubei Province, China Creator An entity primarily responsible for making the resource Wentao Yang, Min Deng, Chaokui LI, JinCai Huang Description An account of the resource Understanding the spatio-temporal characteristics or patterns of the 2019 novel coronavirus (2019-nCoV) epidemic is critical in effectively preventing and controlling this epidemic. However, no research analyzed the spatial dependency and temporal dynamics of 2019-nCoV. Consequently, this research aims to detect the spatio-temporal patterns of the 2019-nCoV epidemic using spatio-temporal analysis methods at the county level in Hubei province. The Mann–Kendall and Pettitt methods were used to identify the temporal trends and abrupt changes in the time series of daily new confirmed cases, respectively. The local Moran’s I index was applied to uncover the spatial patterns of the incidence rate, including spatial clusters and outliers. On the basis of the data from January 26 to February 11, 2020, we found that there were 11 areas with different types of temporal patterns of daily new confirmed cases. The pattern characterized by an increasing trend and abrupt change is mainly attributed to the improvement in the ability to diagnose the disease. Spatial clusters with high incidence rates during the period were concentrated in Wuhan Metropolitan Area due to the high intensity of spatial interaction of the population. Therefore, enhancing the ability to diagnose the disease and controlling the movement of the population can be confirmed as effective measures to prevent and control the regional outbreak of the epidemic. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource 2019 novel coronavirus, geographic information science, abrupt change, spatial cluster, Spatial outlier _______________, daily new confirmed cases Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/ijerph17072563 Source A related resource from which the described resource is derived International Journal of Environmental Research and Public Health Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/5148a6903f3095682f8cd227c7433895.pdf 9e507154987f66939234398155945f48 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Repurposing FDA-approved drugs for SARS-CoV-2 through an ELISA-based screening for the inhibition of RBD/ACE2 interaction. Creator An entity primarily responsible for making the resource Wenyu Fu, Yujianan Chen, Kaidi Wang, Aubryanna Hettinghouse, Wenhuo Hu, Jing-Quan Wang, Zi-Ning Lei, Zhe-Sheng Chen, Kenneth A Stapleford, Chuan-Ju Liu Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1007/s13238-020-00803-w Source A related resource from which the described resource is derived Protein & Cell Publisher An entity responsible for making the resource available SpringerOpen https://www.socictopen.socict.org/files/original/143536dca0449dace1264e8d6bbc8e5f.pdf bfaf807cb09aae8ddd93ad8d341c5ef7 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Manoeuvring Through the Crisis: Labour Market and Social Policies During the COVID-19 Pandemic. Creator An entity primarily responsible for making the resource Werner Eichhorst, Paul Marx, Ulf Rinne Description An account of the resource The unprecedented COVID-19 pandemic has a severe impact on societies, economies and labour markets. However, not all countries, socio-economic groups and sectors are equally affected. Part of this disparity can be related to the different role and extent of short-time work, which is now being used more widely than during the Great Recession. Furthermore, unemployment benefits have been made more generous in many countries. While it is still too early to assess the relative success of national strategies to cope with the pandemic and to revitalise the labour market as well as to evaluate the medium-term fiscal viability of different support measures, a few policy directions become apparent. These include the use of digital tools to increase resilience against economic shocks, the longer-term perspective of short-time workers in the current crisis, social protection for self-employed workers that is robust to economic crises and resilient models for school-to-work transitions of younger workers. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1007/s10272-020-0937-6 Source A related resource from which the described resource is derived Intereconomics Publisher An entity responsible for making the resource available Springer https://www.socictopen.socict.org/files/original/bc1b99b0cad0324c04fcd6e753e788eb.pdf 262bfbecf70ee5a8bb8754ed6e052493 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Botánica, domesticación y fisiología del cultivo de ñame (Dioscorea alata). Creator An entity primarily responsible for making the resource Werner Rodríguez-González Description An account of the resource Una revisión exhaustiva de la literatura recapitula los principales antecedentes de la domesticación, adaptación, ecología, fenología, análisis del crecimiento y fisiología de la producción de los ñames comestibles. Este recorrido por la literatura conduce al Yam Sim (Yam Simulator), primera versión de un modelo desarrollado a partir del Simple and Universal Crop Simulator (SUCROS). Yam Sim es útil para simular tanto el crecimientocomo la formación de la cosecha del ñame alado (Dioscorea alata). Se discute la posible limitación del rendimiento por el tamaño de la fuente o el sumidero. Se concluye con la proposición de características morfo-fisiológicas de un idiotipo del ñame comestible. Date A point or period of time associated with an event in the lifecycle of the resource 2006 Identifier An unambiguous reference to the resource within a given context 10.15517/am.v11i2.17326 Source A related resource from which the described resource is derived Agronomía Mesoamericana Publisher An entity responsible for making the resource available Universidad de Costa Rica Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Agriculture Relation A related resource <a href="https://revistas.ucr.ac.cr/index.php/agromeso/article/view/17326" target="_blank" rel="noreferrer noopener">https://revistas.ucr.ac.cr/index.php/agromeso/article/view/17326</a> https://www.socictopen.socict.org/files/original/6fc759f364e91f56633b9d0208c9a543.pdf 5caaadd0b91f4ff6d8f35754369acb05 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Severe airport sanitarian control could slow down the spreading of COVID-19 pandemics in Brazil Creator An entity primarily responsible for making the resource Wesley Dattilo, Sérvio Pontes Ribeiro, Alcides Castro e Silva, Alexandre Barbosa Reis, Aristóteles Góes-Neto, Luiz Carlos Junior Alcantara, Marta Giovanetti, Wendel Coura-Vital, Geraldo Wilson Fernandes, Vasco Ariston C. Azevedo Description An account of the resource Background We investigated a likely scenario of COVID-19 spreading in Brazil through the complex airport network of the country, for the 90 days after the first national occurrence of the disease. After the confirmation of the first imported cases, the lack of a proper airport entrance control resulted in the infection spreading in a manner directly proportional to the amount of flights reaching each city, following the first occurrence of the virus coming from abroad. Methodology We developed a Susceptible-Infected-Recovered model divided in a metapopulation structure, where cities with airports were demes connected by the number of flights. Subsequently, we further explored the role of the Manaus airport for a rapid entrance of the pandemic into indigenous territories situated in remote places of the Amazon region. Results The expansion of the SARS-CoV-2 virus between cities was fast, directly proportional to the city closeness centrality within the Brazilian air transportation network. There was a clear pattern in the expansion of the pandemic, with a stiff exponential expansion of cases for all the cities. The more a city showed closeness centrality, the greater was its vulnerability to SARS-CoV-2. Conclusions We discussed the weak pandemic control performance of Brazil in comparison with other tropical, developing countries, namely India and Nigeria. Finally, we proposed measures for containing virus spreading taking into consideration the scenario of high poverty. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource SIR model, SARS-CoV2 pandemic, Amazônia, Indigenous People, metapopulation dynamics, One-Ecohealth Identifier An unambiguous reference to the resource within a given context 10.7717/peerj.9446 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine https://www.socictopen.socict.org/files/original/f8657473870132e6338f8c71307a59ed.pdf e92791c3564cf8cc44cb7c39572571ec Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource The Artificial University: Decision Support for Universities in the COVID-19 Era Creator An entity primarily responsible for making the resource Wesley J. Wildman, Saikou Y. Diallo, George Hodulik, Andrew Page, Andreas Tolk, Neha Gondal Description An account of the resource Operating universities under pandemic conditions is a complex undertaking. The Artificial University (TAU) responds to this need. TAU is a configurable, open-source computer simulation of a university using a contact network based on publicly available information about university classes, residences, and activities. This study evaluates health outcomes for an array of interventions and testing protocols in an artificial university of 6,500 students, faculty, and staff. Findings suggest that physical distancing and centralized contact tracing are most effective at reducing infections, but there is a tipping point for compliance below which physical distancing is less effective. If student compliance is anything short of high, it helps to have separate buildings for quarantining infected students, thereby gracefully increasing compliance. Hybrid in-person and online classes and closing fitness centers do not significantly change cumulative infections but do significantly decrease the number of the infected at any given time, indicating strategies for “flattening the curve” to protect limited resources. Supplementing physical distancing with centralized contact tracing decreases infected individuals by an additional 14%; boosting frequency of testing for student-facing staff yields a further 7% decrease. A trade-off exists between increasing the sheer number of infection tests and targeting testing for key nodes in the contact network (i.e., student-facing staff). There are significant advantages to getting and acting on test results quickly. The costs and benefits to universities of these findings are discussed. Artificial universities can be an important decision support tool for universities, generating useful policy insights into the challenges of operating universities under pandemic conditions. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Identifier An unambiguous reference to the resource within a given context 10.1155/2020/5910209 Source A related resource from which the described resource is derived Complexity Publisher An entity responsible for making the resource available Hindawi-Wiley Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Electronic computers. Computer science